Enabling automated requirements reuse and configuration

Li, Yan; Yue, Tao; Ali, Shaukat; Zhang, Li

doi:10.1007/s10270-017-0641-6

Cited by 10 publications

(1 citation statement)

References 60 publications

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“…The interaction of configuration and their features with other configurations' features creates ambiguity and errors due to improper prioritization and selection of features or configuration to fulfil system requirements [6,29,36,47]. For a configurable system, to correctly identify and manage the requirements, and to avoid reuse of irrelevant requirements of other applications, it is necessary to improve the structuring, and prioritization process of configurable systems requirements, with the active participation of stakeholders [15,30,34]. Hence, these configurable systems have several variability possibilities, and these are all interdependent.…”

Section: Introductionmentioning

confidence: 99%

A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study

Ali

Hafeez

Ali

et al. 2021

ITC

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Department of Software Engineering, In the current application development strategies, families of productsare developed with personalized configurations to increase stakeholders’ satisfaction. Product lines have theability to address several requirements due to their reusability and configuration properties. The structuringand prioritizing of configuration requirements facilitate the development processes, whereas it increases theconflicts and inadequacies. This increases human effort, reducing user satisfaction, and failing to accommodatea continuous evolution in configuration requirements. To address these challenges, we propose a framework formanaging the prioritization process considering heterogeneous stakeholders priority semantically. Featuresare analyzed, and mined configuration priority using the data mining method based on frequently accessed andchanged configurations. Firstly, priority is identified based on heterogeneous stakeholder’s perspectives usingthree factors functional, experiential, and expressive values. Secondly, the mined configuration is based on frequentlyaccessed or changed configuration frequency to identify the new priority for reducing failures or errorsamong configuration interaction. We evaluated the performance of the proposed framework with the help ofan experimental study and by comparing it with analytical hierarchical prioritization (AHP) and Clustering.The results indicate a significant increase (more than 90 percent) in the precision and the recall value of theproposed framework, for all selected cases.

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Section: Introductionmentioning

confidence: 99%

A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study

Ali

Hafeez

Ali

et al. 2021

ITC

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Automated Reuse Recommendation of Product Line Assets Based on Natural Language Requirements

Abbas

Saadatmand

Enoiu

et al. 2020

Lecture Notes in Computer Science

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Advances in automated support for requirements engineering: a systematic literature review

Umar,

Lano

2024

Requirements Eng

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Requirements Engineering (RE) has undergone several transitions over the years, from traditional methods to agile approaches emphasising increased automation. In many software development projects, requirements are expressed in natural language and embedded within large volumes of text documents. At the same time, RE activities aim to define software systems' functionalities and constraints. However, manually executing these tasks is time-consuming and prone to errors. Numerous research efforts have proposed tools and technologies for automating RE activities to address this challenge, which are documented in published works. This review aims to examine empirical evidence on automated RE and analyse its impact on the RE sub-domain and software development. To achieve our goal, we conducted a Systematic Literature Review (SLR) following established guidelines for conducting SLRs. We aimed to identify, aggregate, and analyse papers on automated RE published between 1996 and 2022. We outlined the output of the support tool, the RE phase covered, levels of automation, development approach, and evaluation approaches. We identified 85 papers that discussed automated RE from various perspectives and methodologies. The results of this review demonstrate the significance of automated RE for the software development community, which has the potential to shorten development cycles and reduce associated costs. The support tools primarily assist in generating UML models (44.7%) and other activities such as omission of steps, consistency checking, and requirement validation. The analysis phase of RE is the most widely automated phase, with 49.53% of automated tools developed for this purpose. Natural language processing technologies, particularly POS tagging and Parser, are widely employed in developing these support tools. Controlled experimental methods are the most frequently used (48.2%) for evaluating automated RE tools, while user studies are the least employed evaluation method (8.2%). This paper contributes to the existing body of knowledge by providing an updated overview of the research literature, enabling a better understanding of trends and state-of-the-art practices in automated RE for researchers and practitioners. It also paves the way for future research directions in automated requirements engineering.

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Enabling automated requirements reuse and configuration

Cited by 10 publications

References 60 publications

A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study

A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study

Automated Reuse Recommendation of Product Line Assets Based on Natural Language Requirements

Advances in automated support for requirements engineering: a systematic literature review

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